XGBoost: OS Error : [WinError -529697949] Windows Error 0xe06d7363 running XGBClassifier with large dataset, CPU Mode

Getting this error while trying to run XGBClassifier and GridsearchCV for hyperparameter optimization. I have seen this issue being opened in Github but closed and marked resolved but no solution provided. Has anyone actually found a soultion to this error?

My dataset:

X = np array with 350000 rows and 1715 columns (after one hot encoding)
y = 350000 rows and 1 column (target) 

My Code:

X = train.drop(['Breakage'], axis=1,)  #features (read from dataframe)
y = train['Breakage']    #target (read from dataframe)

X= X.as_matrix()    #convert to np array
y= y.as_matrix()    #convert to np array
y = np.reshape(y,(-1, 1))    #reshape array

X = X.astype('uint8')  #Change dtype to avoid overcommmit error in windows
y = y.astype('uint8')  #Change dtype to avoid overcommmit error in windows

#define estimators and learning rate
model = XGBClassifier()
n_estimators = [100, 200, 300, 400, 500]
learning_rate = [0.0001, 0.001, 0.01, 0.1]

# GRidSearchCV
param_grid = dict(learning_rate=learning_rate, n_estimators=n_estimators)
kfold = StratifiedKFold(n_splits=5, shuffle=True, random_state=7)
grid_search = GridSearchCV(model, param_grid, n_jobs=-1, cv=kfold)
grid_result = grid_search.fit(X,y)

The output Error:

OSError: [WinError -529697949] Windows Error 0xe06d7363

Can anyone please tell me what i am doing wrong

I have same problem as yours. This answer will help you. Windows Error using XGBoost with python Change the 'xgb.fit()' sklearn api to 'xgb.train()' will solve this problem.